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Senior Data Engineer with 8+ years of experience building and optimizing analytics data platforms for healthcare, retail analytics, and pharmaceutical environments. I design end-to-end data engineering workflows using cloud data warehouses, dbt, and Python-based pipelines to deliver business-ready datasets, trusted data marts, and well-structured dimensional models. I focus on data quality, governance, and performance tuning—translating complex requirements into reliable, scalable analytics layers that support experimentation, reporting, and operational insights. I collaborate with stakeholders to define metrics, enforce data contracts, and maintain clear lineage and documentation for compliant data usage.…Senior Data Engineer with 8+ years of experience building and optimizing analytics data platforms for healthcare, retail analytics, and pharmaceutical environments. I design end-to-end data engineering workflows using cloud data warehouses, dbt, and Python-based pipelines to deliver business-ready datasets, trusted data marts, and well-structured dimensional models. I focus on data quality, governance, and performance tuning—translating complex requirements into reliable, scalable analytics layers that support experimentation, reporting, and operational insights. I collaborate with stakeholders to define metrics, enforce data contracts, and maintain clear lineage and documentation for compliant data usage.

Cristian Chantarangsu

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Senior Data Engineer with 8+ years of experience building and optimizing analytics data platforms for healthcare, retail analytics, and pharmaceutical environments. I design end-to-end data engineering workflows using cloud data warehouses, dbt, and Python-based pipelines to deliver business-ready datasets, trusted data marts, and well-structured dimensional models. I focus on data quality, governance, and performance tuning—translating complex requirements into reliable, scalable analytics layers that support experimentation, reporting, and operational insights. I collaborate with stakeholders to define metrics, enforce data contracts, and maintain clear lineage and documentation for compliant data usage.…Senior Data Engineer with 8+ years of experience building and optimizing analytics data platforms for healthcare, retail analytics, and pharmaceutical environments. I design end-to-end data engineering workflows using cloud data warehouses, dbt, and Python-based pipelines to deliver business-ready datasets, trusted data marts, and well-structured dimensional models. I focus on data quality, governance, and performance tuning—translating complex requirements into reliable, scalable analytics layers that support experimentation, reporting, and operational insights. I collaborate with stakeholders to define metrics, enforce data contracts, and maintain clear lineage and documentation for compliant data usage.

Available to hire

Senior Data Engineer with 8+ years of experience building and optimizing analytics data platforms for healthcare, retail analytics, and pharmaceutical environments. I design end-to-end data engineering workflows using cloud data warehouses, dbt, and Python-based pipelines to deliver business-ready datasets, trusted data marts, and well-structured dimensional models.

I focus on data quality, governance, and performance tuning—translating complex requirements into reliable, scalable analytics layers that support experimentation, reporting, and operational insights. I collaborate with stakeholders to define metrics, enforce data contracts, and maintain clear lineage and documentation for compliant data usage.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Work Experience

Senior Data Engineer at Fresenius Medical Care

June 1, 2023 - Present

Designed and implemented enterprise-grade dimensional models for the Apollo Global Clinical Data Platform using dbt and Snowflake, transforming raw clinical and treatment datasets into curated analytical layers. Built and maintained transformation pipelines processing ~50M clinical records and treatment events across regions, ensuring schema evolution and traceability with dbt, Python, and Airflow. Optimized SQL models and materializations to improve analytical query execution efficiency for medical research and analyst workloads. Implemented automated data quality testing with anomaly detection using dbt tests and Python validation rules. Collaborated with data scientists and stakeholders to define reusable, well-documented data marts and business logic, and enforced data contracts to stabilize schemas downstream. Supported GDPR/SOX-aligned governance and privacy controls for sensitive healthcare data.

Data Engineer at Capgemini

September 1, 2020 - May 1, 2023

Developed analytics data models for the StorePulse Assortment & Promo Insight Engine with dbt and SQL on BigQuery. Designed fact and dimension tables for orders, customers, promotions, and store performance using dimensional modeling and star schema patterns. Built pipelines processing ~20M daily transaction records using Airflow and Python/SQL. Optimized analytical queries for promotion attribution and customer behavior analysis via warehouse tuning, including partitioning strategies. Added automated testing and documentation within dbt for improved reliability and lineage transparency. Worked with analysts to translate business metrics (promo lift, repeat purchase windows, basket composition) into semantic/business logic models. Implemented CI/CD deployment and version control with GitHub Actions to ensure consistent releases. Enabled self-service analytics by delivering data marts and documentation for tools like Looker and experimentation workflows.

Junior Software Developer at Novartis

May 1, 2018 - August 1, 2020

Contributed to the Nerve Live Data Insight Platform by building data transformation components to unify clinical and operational datasets for analytics. Developed ingestion and preprocessing scripts in Python/Pandas for ~5M records from clinical trial and operational sources. Supported dimensional modeling for R&D reporting use cases using SQL and star schema structures. Assisted data scientists in preparing curated datasets for downstream analytics and experimentation workflows. Participated in workflow automation and scheduling of data pipelines with Airflow, maintaining version-controlled scripts with Git and supporting governance/compliance for sensitive healthcare data aligned with GDPR.